15 Optimal Drug Administration Based on a Compartmental System

2015 ◽  
pp. 166-174
Author(s):  
Hideo Kusuoka ◽  
Hajime Maeda ◽  
Shinzo Kodama ◽  
Michitoshi Inoue ◽  
Hiroshi Abe ◽  
...  
Keyword(s):  
Drug Administration ◽  
Compartmental System ◽  
Optimal Drug

Optimal drug administration manner would rescue partial virological response in chronic hepatitis B patients with entecavir or tenofovir treatment

2020 ◽  
Vol 27 (7) ◽  
pp. 731-738 ◽  
Author(s):  
Ya‐Chao Tao ◽  
Meng‐Lan Wang ◽  
Dong‐Mei Zhang ◽  
Dong‐Bo Wu ◽  
Yong‐Hong Wang ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Hepatitis B ◽  
Chronic Hepatitis B ◽  
Drug Administration ◽  
Virological Response ◽  
Optimal Drug ◽  
Partial Virological Response

scholarly journals Mathematical and computational models of drug transport in tumours

2014 ◽  
Vol 11 (94) ◽  
pp. 20131173 ◽  
Author(s):  
C. M. Groh ◽  
M. E. Hubbard ◽  
P. F. Jones ◽  
P. M. Loadman ◽  
N. Periasamy ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Drug Administration ◽  
Drug Transport ◽  
Computational Models ◽  
Computational Modelling ◽  
Tumour Cells ◽  
Drug Binding ◽  
Binding Model ◽  
Transport Modelling ◽  
Optimal Drug

The ability to predict how far a drug will penetrate into the tumour microenvironment within its pharmacokinetic (PK) lifespan would provide valuable information about therapeutic response. As the PK profile is directly related to the route and schedule of drug administration, an in silico tool that can predict the drug administration schedule that results in optimal drug delivery to tumours would streamline clinical trial design. This paper investigates the application of mathematical and computational modelling techniques to help improve our understanding of the fundamental mechanisms underlying drug delivery, and compares the performance of a simple model with more complex approaches. Three models of drug transport are developed, all based on the same drug binding model and parametrized by bespoke in vitro experiments. Their predictions, compared for a ‘tumour cord’ geometry, are qualitatively and quantitatively similar. We assess the effect of varying the PK profile of the supplied drug, and the binding affinity of the drug to tumour cells, on the concentration of drug reaching cells and the accumulated exposure of cells to drug at arbitrary distances from a supplying blood vessel. This is a contribution towards developing a useful drug transport modelling tool for informing strategies for the treatment of tumour cells which are ‘pharmacokinetically resistant’ to chemotherapeutic strategies.

scholarly journals Quantifying Drug-Induced Nanomechanics and Mechanical Effects to Single Cardiomyocytes for Optimal Drug Administration To Minimize Cardiotoxicity

Langmuir ◽  
2016 ◽  
Vol 32 (7) ◽  
pp. 1909-1919 ◽  
Author(s):  
Tao Yue ◽  
Ki Ho Park ◽  
Benjamin E. Reese ◽  
Hua Zhu ◽  
Seth Lyon ◽  
...  
Keyword(s):  
Drug Administration ◽  
Drug Induced ◽  
Mechanical Effects ◽  
Optimal Drug

scholarly journals A drug pharmacodynamics and pharmacokinetics based approach towards stabilization of HIV infection dynamics

2015 ◽  
Vol 30 (5) ◽  
Author(s):  
Rufina M. Tretyakova ◽  
Andreas Meyerhans ◽  
Gennady A. Bocharov
Keyword(s):  
Drug Administration ◽  
Drug Efficacy ◽  
Drug Dosage ◽  
Antiretroviral Drugs ◽  
Loop Control ◽  
Infection Dynamics ◽  
Antiretroviral Drug ◽  
Optimal Drug ◽  
Drug Pharmacokinetics ◽  
Efficacy Function

AbstractIn our study we developed a computational algorithm for finding optimal dosages of antiretroviral drug administration for the stabilization of HIV load at low levels. The novelty is that the pharmacokinetics and pharmacodynamics of the antiretroviral drugs were taken into account. A standard closed-loop control of HIV dynamics was constructed that stabilizes the viral load and the optimal drug administration mode was formulated. We analyze the appropriateness of the ‘drug efficacy’ based control and its relationship to a realistic drug dosage and kinetic models in the human body. The translation of the efficacy function into drug concentration is implemented via the pharmacodynamics model of the drug effect. Optimal approximation of the idealized concentration functions is based on the orthogonal projection on linear subspace of drug pharmacokinetics functions.

Stochastic Programming on Optimal Drug Administration for Two Stage Cancer Treatment Problems

2012 ◽  
Vol 3 (1) ◽  
pp. 1-10
Author(s):  
P. Tirupathi Rao ◽  
D. Flora Evangil ◽  
K. Madhavi
Keyword(s):  
Drug Administration ◽  
Dosage Level ◽  
Drug Dosage ◽  
Drug Dose ◽  
Drug Usage ◽  
Optimal Decisions ◽  
Optimal Drug ◽  
Vacation Period ◽  
Lower Limits ◽  
Care Decision

Either Continuous drug administration or continuous drug vacation for long spells of cancer chemotherapy is not suggestible. Similarly the quantum of administered drug dose either above the required level or below the wanted level is also not advised. Effective drug administration has to consider the optimal threshold limits on the drug administration/drug vacation times; upper and lower limits of drug quantity; along with the suitable number of drug administration/drug vacation cycles; and the number of spells within the cycle of drug usage/stoppage. This paper develops an optimization programming problem for designing drug administration strategies for a cancer patient under chemotherapy. This study will help in exploring the decision parameters at the targeted objectives. Optimal decisions on drug dosage level, drug administration period, drug vacation period, number of drug administration cycles; number of drugs applied within a cycle, etc., can be obtained with the model. Sensitivity analysis is carried out for understanding the model behavior. This work has a scope for developing health care Decision Support Systems.

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